By June 2029, the widespread adoption of artificial intelligence (AI) technologies has transformed society, including the world of scholarly publishing, and not necessarily for the better. In this time of radical uncertainty, volatility, and risk, editors, publishers, and other stakeholders involved in creating and sharing scholarly work must prioritize foresight, an intentional process of learning with the future. This highly interactive learning session will challenge participants to engage with a plausible scenario for the future of AI in scholarly publishing. Working collaboratively with their colleagues, session participants will explore the scenario's unintended consequences and examine the complex implications of the future it describes for their decision-making today and in the years ahead. || Learning Level: Strategic: Focus on analysis, evaluation, and decision-making; appropriate for those with substantial prerequisite knowledge seeking the most up-to-date information to heighten expertise and advance best practices. || Speakers: Jeff De Cagna; Damita Snow